mirror of
https://git.mirrors.martin98.com/https://github.com/google/draco
synced 2025-07-28 00:01:59 +08:00
57 lines
2.5 KiB
C++
57 lines
2.5 KiB
C++
// Copyright 2016 The Draco Authors.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
//
|
|
#ifndef DRACO_COMPRESSION_ATTRIBUTES_SEQUENTIAL_NORMAL_ATTRIBUTE_ENCODER_H_
|
|
#define DRACO_COMPRESSION_ATTRIBUTES_SEQUENTIAL_NORMAL_ATTRIBUTE_ENCODER_H_
|
|
|
|
#include "compression/attributes/prediction_schemes/prediction_scheme_encoder_factory.h"
|
|
#include "compression/attributes/prediction_schemes/prediction_scheme_normal_octahedron_transform.h"
|
|
#include "compression/attributes/sequential_integer_attribute_encoder.h"
|
|
|
|
namespace draco {
|
|
|
|
// Class for encoding normal vectors using an octahedral encoding (see Cigolle
|
|
// et al.'14 “A Survey of Efficient Representations for Independent Unit
|
|
// Vectors”. Compared to the basic quantization encoder, this encoder results
|
|
// in a better compression rate under the same accuracy settings. Note that this
|
|
// encoder doesn't preserve the lengths of input vectors, therefore it will not
|
|
// work correctly when the input values are not normalized.
|
|
class SequentialNormalAttributeEncoder
|
|
: public SequentialIntegerAttributeEncoder {
|
|
public:
|
|
uint8_t GetUniqueId() const override {
|
|
return SEQUENTIAL_ATTRIBUTE_ENCODER_NORMALS;
|
|
}
|
|
bool IsLossyEncoder() const override { return true; }
|
|
|
|
protected:
|
|
bool Initialize(PointCloudEncoder *encoder, int attribute_id) override;
|
|
bool PrepareValues(const std::vector<PointIndex> &point_ids) override;
|
|
|
|
std::unique_ptr<PredictionSchemeTypedInterface<int32_t>>
|
|
CreateIntPredictionScheme(PredictionSchemeMethod /* method */) override {
|
|
typedef PredictionSchemeNormalOctahedronTransform<int32_t> Transform;
|
|
const int32_t quantization_bits = encoder()->options()->GetAttributeInt(
|
|
attribute_id(), "quantization_bits", -1);
|
|
const int32_t max_value = (1 << quantization_bits) - 1;
|
|
const Transform transform(max_value);
|
|
return CreatePredictionSchemeForEncoder<int32_t, Transform>(
|
|
PREDICTION_DIFFERENCE, attribute_id(), encoder(), transform);
|
|
}
|
|
};
|
|
|
|
} // namespace draco
|
|
|
|
#endif // DRACO_COMPRESSION_ATTRIBUTES_SEQUENTIAL_NORMAL_ATTRIBUTE_ENCODER_H_
|